CN116647617A - Mobile phone signal receiving enhancement method and device in field low-signal environment - Google Patents
Mobile phone signal receiving enhancement method and device in field low-signal environment Download PDFInfo
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Abstract
The invention relates to the technical field of digital signals, and discloses a method and a device for enhancing mobile phone signal reception in a field low-signal environment, wherein the method comprises the following steps: extracting environmental characteristics of environmental data, and carrying out region division on a target field environment according to the environmental characteristics to obtain a target environment region; calculating signal coverage rate of a target environment area according to the environment characteristics and the base station position, and calculating signal interference degree of the target environment area according to the environment characteristics; calculating a signal area factor in a target environment area according to the signal interference degree and the signal coverage rate, and determining an optimal signal area in a target field environment according to the signal transmission radius and the signal area factor; acquiring the positioning position of a target mobile phone, and carrying out position updating on the positioning position according to the optimal signal area to obtain an updated positioning position; and carrying out signal enhancement on the received signals in the updated positioning position to obtain enhanced received signals of the target mobile phone. The invention can improve the accuracy of the signal receiving enhancement of the mobile phone.
Description
Technical Field
The invention relates to the technical field of digital signals, in particular to a method and a device for enhancing mobile phone signal reception in a field low-signal environment.
Background
In the field environment, a plurality of signal interference factors exist, so that the mobile phone received signal is in a low-signal environment, and in order to enhance the received signal in the field low-signal environment, the signal intensity of the field environment area needs to be analyzed for mobile phone received signal enhancement.
The existing mobile phone signal receiving and enhancing technology is mainly used for enhancing mobile phone signals in a field low-signal environment by using a signal enhancer. In practical application, only the signal enhancer is used for enhancing the mobile phone signal, and the optimal signal area in the field environment is not fully considered, so that the accuracy of enhancing the mobile phone signal receiving of the user is low.
Disclosure of Invention
The invention provides a method and a device for enhancing mobile phone signal reception in a field low-signal environment, and mainly aims to solve the problem of low accuracy in enhancing mobile phone signal reception.
In order to achieve the above object, the present invention provides a method for enhancing mobile phone signal reception in a field low signal environment, comprising:
s1, acquiring environment data of a target field environment, extracting environment characteristics of the environment data, and dividing the target field environment into areas according to the environment characteristics to obtain a target environment area;
S2, calculating the signal coverage rate of the target environment area according to the environment characteristics and the preset base station position by using a preset coverage rate algorithm, and calculating the signal interference degree of the target environment area according to the environment characteristics by using a preset signal interference degree algorithm;
s3, calculating a signal area factor in the target environment area according to the signal interference degree and the signal coverage rate, and determining an optimal signal area in the target field environment according to a preset signal transmission radius and the signal area factor, wherein the calculating the signal area factor in the target environment area according to the signal interference degree and the signal coverage rate comprises the following steps:
s31, acquiring a target area in the target environment area;
s32, calculating a signal area factor in the target environment area according to the signal interference degree, the signal coverage rate and the target area by using the following signal area factor calculation formula:
wherein H is k Signal area factor, G, for the kth target environmental area k Signal interference degree of kth target environment area, B k Signal coverage for the kth target environment area, S k A target area for the kth target environment area;
S4, acquiring the positioning position of the target mobile phone, and carrying out position updating on the positioning position according to the optimal signal area to obtain an updated positioning position;
s5, carrying out signal enhancement on the received signals in the updated positioning positions by using a preset stochastic resonance algorithm to obtain enhanced received signals of the target mobile phone.
Optionally, the extracting the environmental feature of the environmental data includes:
graying the environment image in the environment data to obtain a graying environment image;
filtering fine substances in the gray environment image by using a preset median filtering algorithm to obtain a filtered environment image;
determining salient environment feature points in the filtered environment image by using a preset salient algorithm;
generating an environment topological graph of the target field environment according to the remarkable environment characteristic points, and taking the environment topological graph as the environment characteristic of the target field environment.
Optionally, the determining the salient environmental feature point in the filtered environmental image by using a preset salient algorithm includes:
marking the environmental points in the filtering environmental image, and carrying out area marking on the environmental points according to a preset rectangular area to obtain an environmental point area;
Calculating the salient feature values of the environmental points one by one according to the environmental point areas by using the salient algorithm, wherein the salient algorithm is as follows:
wherein A is α C is a column termination value in the environment point area, O is a column start value in the environment point area, E is a row termination value in the environment point area, R is a row start value in the environment point area, X (i, j) is a gray value of each pixel in the environment point area, alpha is an environment point serial number mark, i is a row serial number mark, and j is a column serial number mark;
and when the salient feature value is larger than a preset salient feature threshold, taking the environment point corresponding to the salient value as the salient environment feature point.
Optionally, the performing area division on the target field environment according to the environmental feature to obtain a target environment area includes:
extracting an environment topology region of the environment topology map in the environment characteristic;
calculating the area of the environment topology area one by one;
calculating the total area of the environmental area in the environmental topological area according to a preset topological connection sequence and the area of the area;
and when the total area of the environment areas is larger than a preset area total area threshold, carrying out area division on the environment topology area corresponding to the total area of the environment areas to obtain a target environment area.
Optionally, the calculating the signal coverage rate of the target environmental area according to the environmental feature and the preset base station position by using a preset coverage rate algorithm includes:
gridding the target environment area according to the environment characteristics to obtain a grid environment area;
determining the number of signal transmission grids in the grid environment area according to the base station position;
calculating the signal coverage rate of the target environment area according to the number of the signal transmission grids by using the coverage rate algorithm, wherein the coverage rate algorithm is as follows:
wherein B is k Signal coverage for the kth target environment region, F k The number of grids is signaled for the kth target environment area, and n is the total number of areas of the target environment area.
Optionally, the calculating the signal interference degree of the target environmental area according to the environmental characteristic by using a preset signal interference degree algorithm includes:
acquiring a target area signal of the target environment area, and quantifying an environment interference factor in the environment characteristic to obtain an environment interference factor value;
performing signal transformation on the target area signal by using a preset fast Fourier transformation algorithm to obtain a target transformation signal;
Calculating an envelope value of the target transformation signal by using a preset signal envelope algorithm, wherein the signal envelope algorithm is as follows:
wherein D is δ R (delta) is the envelope value of the target transformation signal of the delta filter, N is the total signal moment, ln is a logarithmic function, exp is an exponential function;
when the envelope value is greater than a preset interference threshold, calculating the signal interference degree of the target environment area according to the environment interference factor value and the envelope value by using the signal interference degree algorithm, wherein the signal interference degree algorithm is as follows:
wherein G is k The signal interference level for the kth target environment region,an environmental interference factor value, D, for the kth target environmental region δ The envelope value of the target transformation signal at the delta time is N, pi is the circumference rate, ln is a logarithmic function and P k False alarm probability of interference detection of kth target environment area.
Optionally, the determining the optimal signal area in the target field environment according to the preset signal transmission radius and the signal area factor includes:
when the signal area factor is smaller than a preset signal area factor threshold, selecting a target environment area corresponding to the signal area factor as a first signal area;
And selecting a target environment area with the largest signal transmission radius in the first signal area as an optimal signal area in the target field environment.
Optionally, the updating the location according to the optimal signal area to obtain an updated location includes:
acquiring the region center position and the region radius of the optimal signal region;
calculating a distance value between the central position of the region and the positioning position;
calculating the updated positioning position according to the area center position, the area radius and the distance value, wherein the updated positioning position calculation formula is as follows:
wherein (u, v) is the updated position location, (x) 1 ,y 1 ) Is the center position of the region, (x) 2 ,y 2 ) And r is the radius of the area, and d is the distance value for the positioning position.
Optionally, the signal enhancement is performed on the received signal in the updated positioning position by using a preset stochastic resonance algorithm to obtain an enhanced received signal of the target mobile phone, which includes:
acquiring a sinusoidal signal of the received signal in the updated positioning position;
determining a strong sinusoidal component in the sinusoidal signal using the stochastic resonance algorithm;
Determining a power peak of the received signal from the strong sinusoidal component;
and carrying out signal enhancement on the received signal according to the power peak value to obtain an enhanced received signal of the target mobile phone.
In order to solve the above problems, the present invention further provides a mobile phone signal receiving enhancing device in a field low signal environment, the device comprising:
the environment area dividing module is used for acquiring environment data of a target field environment, extracting environment characteristics of the environment data, and dividing the target field environment into areas according to the environment characteristics to obtain a target environment area;
the signal interference degree calculation module is used for calculating the signal coverage rate of the target environment area according to the environment characteristics and the preset base station position by using a preset coverage rate algorithm, and calculating the signal interference degree of the target environment area according to the environment characteristics by using a preset signal interference degree algorithm;
the optimal signal area determining module is used for calculating a signal area factor in the target environment area according to the signal interference degree and the signal coverage rate and determining an optimal signal area in the target field environment according to a preset signal transmission radius and the signal area factor;
The positioning position updating module is used for acquiring the positioning position of the target mobile phone, and carrying out position updating on the positioning position according to the optimal signal area to obtain an updated positioning position;
and the received signal enhancement module is used for carrying out signal enhancement on the received signal in the updated positioning position by utilizing a preset stochastic resonance algorithm to obtain an enhanced received signal of the target mobile phone.
According to the embodiment of the invention, the field environment of the target is divided into the areas according to the environmental characteristics of the field environment of the target, so that the area of the target environment is obtained, the mobile phone signal can be detected in a smaller area, and the detection accuracy of the mobile phone signal can be improved; calculating signal coverage rate and signal interference degree of a target environment area, determining signal area factors in the target environment area according to the signal coverage rate and the signal interference degree, determining an optimal signal area in a target field environment according to the signal area factors and the signal transmission radius, and realizing first heavy signal enhancement of a mobile phone received signal; updating the mobile phone positioning position to obtain a mobile phone signal updating positioning position, and further carrying out signal enhancement on the mobile phone signal in the updating positioning position, so as to realize second signal enhancement of mobile phone receiving signals, and further improve the accuracy of mobile phone signal receiving enhancement. Therefore, the method and the device for enhancing the mobile phone signal reception in the field low-signal environment can solve the problem of lower accuracy when the mobile phone signal reception is enhanced.
Drawings
Fig. 1 is a flow chart of a method for enhancing mobile phone signal reception in a field low signal environment according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an environmental topology of a target field environment according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating a method for calculating signal coverage according to an embodiment of the present application;
fig. 4 is a functional block diagram of a mobile phone signal receiving enhancement device in a field low signal environment according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a mobile phone signal receiving enhancement method in a field low-signal environment. The execution main body of the mobile phone signal receiving enhancement method in the field low signal environment comprises, but is not limited to, at least one of a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the method for enhancing the mobile phone signal reception in the field low signal environment may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a method for enhancing mobile phone signal reception in a field low signal environment according to an embodiment of the invention is shown. In this embodiment, the method for enhancing mobile phone signal reception in a field low signal environment includes:
s1, acquiring environment data of a target field environment, extracting environment characteristics of the environment data, and dividing the target field environment into areas according to the environment characteristics to obtain a target environment area;
in the embodiment of the invention, the environmental data comprises trees, roads, rivers, mountains, soil pits and the like in the environmental image of the target field environment.
In detail, the environmental image of the target field environment may be acquired through a computer sentence (e.g., java sentence, python sentence, etc.) having a data capturing function, thereby acquiring the environmental data of the target field environment.
In the embodiment of the invention, the environmental characteristics refer to the overall position distribution of the environmental entities in the target field environment, namely, the environmental topological graph of the target field environment is constructed based on the overall outline of the environment, so that the environmental characteristics of the target field environment are determined.
In an embodiment of the present invention, the extracting the environmental feature of the environmental data includes:
Graying the environment image in the environment data to obtain a graying environment image;
filtering fine substances in the gray environment image by using a preset median filtering algorithm to obtain a filtered environment image;
determining salient environment feature points in the filtered environment image by using a preset salient algorithm;
generating an environment topological graph of the target field environment according to the remarkable environment characteristic points, and taking the environment topological graph as the environment characteristic of the target field environment.
In detail, the environment image captured by the camera is a color image, and if the color image is directly used, the calculated amount is multiplied, so that a plurality of processes are performed in the early stage, namely, the color image is firstly changed into a gray image, and a gray environment image is obtained; secondly, because of a lot of fine substances in the field environment, a lot of image interference can be generated, and the median filtering is used for filtering based on the good filtering characteristic of the median filtering on the particle interference so as to obtain a more accurate environment image, namely a filtered environment image.
Specifically, all the environmental points in the filtered environmental image, such as trees, roads, rivers, mountains, soil pits and the like, can be used as the environmental points, but a plurality of environmental points exist in the field environmental image, so that the environmental points with obvious characteristics are marked as the obvious environmental characteristic points in order to reduce the calculation amount and ensure the accuracy of extracting the environmental characteristics.
In the embodiment of the present invention, the determining the salient environmental feature point in the filtered environmental image by using a preset salient algorithm includes:
marking the environmental points in the filtering environmental image, and carrying out area marking on the environmental points according to a preset rectangular area to obtain an environmental point area;
calculating the salient feature values of the environmental points one by one according to the environmental point areas by using the salient algorithm, wherein the salient algorithm is as follows:
wherein A is α C is a column termination value in the environment point area, O is a column start value in the environment point area, E is a row termination value in the environment point area, R is a row start value in the environment point area, X (i, j) is a gray value of each pixel in the environment point area, alpha is an environment point serial number mark, i is a row serial number mark, and j is a column serial number mark;
and when the salient feature value is larger than a preset salient feature threshold, taking the environment point corresponding to the salient value as the salient environment feature point.
In detail, all entity substances (such as trees, soil pits, hills and the like) which can be marked in the filtering environment image are marked out through rectangular areas to obtain environment point areas corresponding to different environment points, wherein the environment points can be marked through computer sentences (such as Python sentences) to obtain the environment point areas.
Specifically, calculating the salient feature value of each environmental point one by one through the salient algorithm, determining the number of pixel points in the environmental point area of each environmental point according to the line start value, the line end value, the column start value and the column end value of the rectangular area in the environmental point area, further obtaining a total pixel value according to the superposition of the pixel gray values in each environmental point area, and further determining the salient feature value of each environmental point according to the number of pixel points and the total pixel value in each environmental point area, wherein the line start value, the line end value, the column start value and the column end value of the environmental point area can be determined by utilizing a two-dimensional coordinate system, and X (i, j) represents the gray values of the pixels in the ith line and the jth column in the environmental point area; i, j represents the geometric position, the pixel value of each pixel of the gray map typically has only one value (0-255), so the pixel gray value in each ambient point region is obtained by detecting the gray value.
Further, when each salient feature value is larger than a preset salient feature threshold, the environment point corresponding to the salient feature is taken as a salient environment feature point, some non-salient environment points in the environment image are filtered, and the environment feature is guaranteed to have higher representativeness, wherein the salient feature threshold is determined according to feature average values of all salient feature values in the environment point.
Furthermore, all the salient feature points are connected to generate an environmental topological graph of the target field environment, and the environmental topological graph is used as the environmental feature of the target field environment, as shown in fig. 2, when the salient feature points are (1), (2), (3), (4), (5) and (6), the salient feature points are sequentially connected, so that the environmental topological graph of the target field environment, namely the environmental feature of the target field environment, is obtained, the target field environment is further divided according to the topological area in the environmental feature, the signal optimal area is detected in a smaller range, and the accuracy of signal optimal area detection is improved.
In the embodiment of the invention, the target environment area refers to an environment topological area of the environment characteristic is divided to obtain an environment area with a smaller area.
In the embodiment of the present invention, the performing area division on the target field environment according to the environmental characteristics to obtain a target environment area includes:
extracting an environment topology region of the environment topology map in the environment characteristic;
calculating the area of the environment topology area one by one;
calculating the total area of the environmental area in the environmental topological area according to a preset topological connection sequence and the area of the area;
And when the total area of the environment areas is larger than a preset area total area threshold, carrying out area division on the environment topology area corresponding to the total area of the environment areas to obtain a target environment area.
In detail, as shown in fig. 2, the method is a schematic diagram of an environmental topological graph of a target field environment, the environmental topological areas are 1, 2, 3,..11, the area of the environmental topological areas is calculated one by one through a related formula of the calculated area, and the environmental area of the environmental picture area is calculated according to the topological connection sequence of the environmental topological graph, if the area of the environmental topological area 1 is s 1 Environment topologyArea of region 2 is s 2 The area of the environment topology area 3 is s 3 The area of the environment topology area 4 is s 4 And the total area of the environment area is s=s 1 +s 2 +s 3 And if the total area s of the environment areas is larger than the preset total area threshold value of the areas, taking the environment topological area 1, the environment topological area 2 and the environment topological area 3 as target environment areas.
Specifically, the steps of using the other environmental topology area and the environmental topology area 1, the environmental topology area 2, and the environmental topology area 3 in the environmental topology map as the target environmental area are identical, and will not be described herein.
Further, the signal coverage rate and the interference degree of each target environment are determined according to the environmental characteristics of each target environment area and the positions and the signal degrees of surrounding base stations, so that the optimal signal area is determined, and the maximization of signal reception is ensured.
S2, calculating the signal coverage rate of the target environment area according to the environment characteristics and the preset base station position by using a preset coverage rate algorithm, and calculating the signal interference degree of the target environment area according to the environment characteristics by using a preset signal interference degree algorithm;
in the embodiment of the invention, the signal coverage rate is determined by the number of signals transmitted and the number of signals to be transmitted in the vicinity of the base station.
In the embodiment of the present invention, referring to fig. 3, the calculating, by using a preset coverage algorithm, the signal coverage of the target environment area according to the environmental feature and the preset base station position includes:
s31, gridding the target environment area according to the environment characteristics to obtain a grid environment area;
s32, determining the number of signal transmission grids in the grid environment area according to the position of the base station;
s33, calculating the signal coverage rate of the target environment area according to the number of the signal transmission grids by using the coverage rate algorithm, wherein the coverage rate algorithm is as follows:
Wherein B is k Signal coverage for the kth target environment region, F k The number of grids is signaled for the kth target environment area, and n is the total number of areas of the target environment area.
In detail, according to the topological feature of the target environment area divided by the environment feature, dividing the target environment area according to grids with the same size to obtain grid environment areas corresponding to the target environment area, and further determining the number of signal transmission grids in the grid environment area according to the position of the base station, wherein the number of signal transmission grids of the base station in each grid environment area can be obtained through a signal monitoring program configured in the base station, for example, all signals transmitted by the base station are monitored through a Qobject monitoring program, and the number of grids transmitted by the signals in the grid environment area, namely, the number of the signal transmission grids is counted.
Specifically, the number of the signal transmission grids in all grid environment areas is overlapped to obtain the total number of the signal transmission grids, and then the number of the signal transmission grids in each target environment area is compared with the total number of the signal transmission grids to obtain the signal coverage rate of each target environment area, and the optimal signal area of all the target environment areas can be further determined according to the signal coverage rate.
In the embodiment of the invention, the signal interference degree refers to the interference degree of each target environment area on the basis of the environment characteristics and the mobile phone received signals, and the stronger the interference degree is, the weaker the mobile phone received signals are, and the smaller the interference degree is, the stronger the mobile phone received signals are.
In the embodiment of the present invention, the calculating the signal interference degree of the target environmental area according to the environmental characteristic by using a preset signal interference degree algorithm includes:
acquiring a target area signal of the target environment area, and quantifying an environment interference factor in the environment characteristic to obtain an environment interference factor value;
performing signal transformation on the target area signal by using a preset fast Fourier transformation algorithm to obtain a target transformation signal;
calculating an envelope value of the target transformation signal by using a preset signal envelope algorithm, wherein the signal envelope algorithm is as follows:
wherein D is δ R (delta) is the envelope value of the target transformation signal of the delta filter, N is the total signal moment, ln is a logarithmic function, exp is an exponential function;
when the envelope value is greater than a preset interference threshold, calculating the signal interference degree of the target environment area according to the environment interference factor value and the envelope value by using the signal interference degree algorithm, wherein the signal interference degree algorithm is as follows:
Wherein G is k The signal interference level for the kth target environment region,an environmental interference factor value, D, for the kth target environmental region δ The envelope value of the target transformation signal at the delta time is N, pi is the circumference rate, ln is a logarithmic function and P k False alarm probability of interference detection of kth target environment area.
In detail, the target area signal includes a useful signal, a noise signal, and an interference signal, wherein the target area signal of the target environment area can be acquired by a signal detector. And carrying out numerical quantization on the environmental interference factors of the environmental characteristics, expressing each environmental interference factor by using a numerical value, and finally taking the average value of all environmental interference factor quantized values of a target environmental area as an interference factor value, wherein the environmental interference factors comprise signal substances which influence mobile phone received signals, such as trees, weeds and the like, and the environmental interference factors can be quantized according to the influence degree of each signal substance on the mobile phone received signals, so that different quantized values are obtained.
In particular, from a filter perspective, a fast fourier transform algorithm (FFT) operation can be seen as passing a signal through a set of narrow band filters of normalized center frequency, with R (δ) representing the output of the δ filter. The base station signal has very small power after being spread, is almost submerged in white noise, and can be approximately regarded as Gaussian white noise plus single-frequency interference to pass through a narrow-band filter. Assuming that the center frequency of the single-frequency interference signal is exactly at the center frequency of the filter, the interference may pass entirely through the narrow-band filter, and the gaussian white noise signal is converted into narrow-band gaussian white noise. At this time, the received signal may be represented as a sum of the noise signal and the single-frequency interference, so that an envelope value of the target transformation signal is calculated according to a signal envelope algorithm, and then, a signal interference degree of the target environment area is calculated according to the envelope value compared with a preset interference threshold.
Further, calculating the interference degree of each target environment area according to the environment interference factor value and the envelope value of each target environment area, wherein P in the signal interference degree algorithm k The k-th false alarm probability of the interference detection in the target environment area refers to the probability that the target is actually absent but judged to be present due to the ubiquitous presence and fluctuation of noise in the signal detection process by adopting a threshold detection method, and the interference detection factor is determined according to the false alarm probability of the interference detection, so that the smaller the false alarm probability of the interference detection in the target environment area is, the larger the interference detection factor is in order to more accurately ensure the interference degree of the target environment area.
Furthermore, the optimal signal area is selected according to the signal interference degree and the signal coverage rate of each target environment area, so that the signal receiving of the mobile phone in the field environment can be further enhanced.
S3, calculating a signal area factor in the target environment area according to the signal interference degree and the signal coverage rate, and determining an optimal signal area in the target field environment according to a preset signal transmission radius and the signal area factor;
in the embodiment of the invention, the signal area factor is an area reflection value for reflecting the best signal of different target environment areas, so that the best signal area in the field environment is determined according to the signal area factor, and the first heavy signal enhancement of the mobile phone received signal is realized.
In the embodiment of the present invention, the calculating the signal area factor in the target environment area according to the signal interference degree and the signal coverage rate includes:
acquiring a target area in the target environment area;
calculating the signal area factor in the target environment area according to the signal interference degree, the signal coverage rate and the target area by using the following signal area factor calculation formula:
wherein H is k Signal area factor, G, for the kth target environmental area k Signal interference degree of kth target environment area, B k Signal coverage for the kth target environment area, S k The target area of the kth target environment area.
Specifically, the target area refers to the total area of each target environmental area, the target area in the target environmental area can be calculated according to a related formula of the calculated area, and then the signal area factor of the target environmental area is calculated according to the signal interference degree, the signal coverage rate and the target area corresponding to each target environmental area, and then the optimal signal area is selected according to the signal area factor.
Further, in order to more accurately select the optimal signal area in the field environment, further judgment is needed according to the area range of the target environment area, so that the accuracy of selecting the optimal signal area is ensured.
In the embodiment of the present invention, the signal transmission radius refers to a transmission range of the maximum target environment area, and if the target environment area is regarded as a circular area, the signal transmission radius of the circular area is obtained by converting each target environment area into a circular area.
In the embodiment of the present invention, the determining the optimal signal area in the target field environment according to the preset signal transmission radius and the signal area factor includes:
when the signal area factor is smaller than a preset signal area factor threshold, selecting a target environment area corresponding to the signal area factor as a first signal area;
and selecting a target environment area with the largest signal transmission radius in the first signal area as an optimal signal area in the target field environment.
In detail, comparing the signal area factor with a preset signal area factor threshold, selecting a target environment area with the signal area factor smaller than the preset signal area factor threshold as a first signal area, wherein the signal area factor threshold is preset in a customized mode, taking an optimal signal value in a field environment in a history detection process as the signal area factor threshold, and selecting a target environment area with the largest signal transmission radius in the first signal area as the optimal signal area.
For example, the signal area factor of the target environment area 1 is 4, the signal area factor of the target environment area 2 is 6, the signal area factor of the target environment area 3 is 2, and the signal area factor threshold is 3, the target environment area 1 and the target environment area 2 are taken as the first signal area, the signal transmission radius of the target environment area 1 is 7, and the signal transmission radius of the target environment area 2 is 9, and the target environment area 2 is selected as the optimal signal area in the field environment.
Further, the mobile phone positioning position is updated according to the optimal signal area, so that the first heavy signal enhancement of the mobile phone received signal is realized, and the strength of the mobile phone received signal is improved.
S4, acquiring the positioning position of the target mobile phone, and carrying out position updating on the positioning position according to the optimal signal area to obtain an updated positioning position;
in the embodiment of the invention, the positioning position refers to a real-time positioning position of the mobile phone in a field environment, and the positioning position of the target mobile phone can be obtained in real time through a GPS positioning system.
Further, the positioning position of the target mobile phone is updated according to the optimal signal area, so that the received signal of the target mobile phone is enhanced, and the first heavy signal enhancement of the received signal of the mobile phone is realized.
In the embodiment of the present invention, the updated positioning position is a point from the designated positioning position to the edge position in the optimal signal area, for example, the positioning position is connected to the center position in the optimal signal area, and a point intersecting with the optimal signal area is the updated positioning position.
In the embodiment of the present invention, the updating the location according to the optimal signal area to obtain an updated location includes:
acquiring the region center position and the region radius of the optimal signal region;
calculating a distance value between the central position of the region and the positioning position;
calculating the updated positioning position according to the area center position, the area radius and the distance value, wherein the updated positioning position calculation formula is as follows:
wherein (u, v) is the updated position location, (x) 1 ,y 1 ) Is the center position of the region, (x) 2 ,y 2 ) And r is the radius of the area, and d is the distance value for the positioning position.
In detail, the two-dimensional coordinate system is utilized to obtain the region center position and the region radius of the optimal signal region, so that the distance value between the mobile phone positioning position and the region center position is determined, and the updated positioning position of the target mobile phone is determined according to the region center position, the region radius and the distance value.
Specifically, the signals of the central area and the edge area in the optimal signal area are the same, and the mobile phone positioning position is only required to be updated to the position, closest to the mobile phone positioning position, of the edge of the optimal signal area, so that the efficiency of updating the positioning position of the target mobile phone can be improved.
Further, in order to further enhance the received signal of the target mobile phone, the received signal of the mobile phone in the optimal signal area is enhanced again under the condition of the optimal signal area, so as to realize the second signal enhancement of the received signal of the mobile phone.
S5, carrying out signal enhancement on the received signals in the updated positioning positions by using a preset stochastic resonance algorithm to obtain enhanced received signals of the target mobile phone.
In the embodiment of the invention, the stochastic resonance algorithm refers to a nonlinear bistable system, when the system output is insufficient to jump between two stable states under the action of noise or small-period signals, a peak value appears at the frequency of the signals in the power spectrum output by the system under the combined action of the noise and the small-period signals, and when the noise intensity reaches a certain proper value, the peak value of the output power spectrum reaches the maximum.
In the embodiment of the present invention, the signal enhancement is performed on the received signal in the updated positioning position by using a preset stochastic resonance algorithm to obtain an enhanced received signal of the target mobile phone, which includes:
Acquiring a sinusoidal signal of the received signal in the updated positioning position;
determining a strong sinusoidal component in the sinusoidal signal using the stochastic resonance algorithm;
determining a power peak of the received signal from the strong sinusoidal component;
and carrying out signal enhancement on the received signal according to the power peak value to obtain an enhanced received signal of the target mobile phone.
In detail, the signal detector can acquire the received signal in the updated positioning position, further convert the received signal into a sinusoidal signal, determine the peak value in the signal frequency by utilizing the stochastic resonance algorithm, take the peak value of the signal frequency as a strong sinusoidal component, output the power spectrum corresponding to the strong sinusoidal component, thereby determining the power peak value of the received signal, and further improve the power value of the mobile phone received signal to the size of the power peak value so as to enhance the mobile phone received signal.
Further, the signal amplifier can be used for signal enhancement of the mobile phone receiving signal at the optimal signal position.
According to the embodiment of the invention, the field environment of the target is divided into the areas according to the environmental characteristics of the field environment of the target, so that the area of the target environment is obtained, the mobile phone signal can be detected in a smaller area, and the detection accuracy of the mobile phone signal can be improved; calculating signal coverage rate and signal interference degree of a target environment area, determining signal area factors in the target environment area according to the signal coverage rate and the signal interference degree, determining an optimal signal area in a target field environment according to the signal area factors and the signal transmission radius, and realizing first heavy signal enhancement of a mobile phone received signal; updating the mobile phone positioning position to obtain a mobile phone signal updating positioning position, and further carrying out signal enhancement on the mobile phone signal in the updating positioning position, so as to realize second signal enhancement of mobile phone receiving signals, and further improve the accuracy of mobile phone signal receiving enhancement. Therefore, the method and the device for enhancing the mobile phone signal reception in the field low-signal environment can solve the problem of lower accuracy when the mobile phone signal reception is enhanced.
Fig. 4 is a functional block diagram of a mobile phone signal receiving enhancement device in a field low signal environment according to an embodiment of the present invention.
The mobile phone signal receiving enhancement device 100 in the field low signal environment can be installed in electronic equipment. According to the functions implemented, the mobile phone signal receiving enhancement device 100 in the field low signal environment may include an environment area dividing module 101, a signal interference calculating module 102, an optimal signal area determining module 103, a positioning location updating module 104 and a received signal enhancing module 105. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the environmental area dividing module 101 is configured to obtain environmental data of a target field environment, extract environmental features of the environmental data, and perform area division on the target field environment according to the environmental features to obtain a target environmental area;
the signal interference degree calculation module 102 is configured to calculate a signal coverage rate of the target environmental area according to the environmental feature and a preset base station position by using a preset coverage rate algorithm, and calculate a signal interference degree of the target environmental area according to the environmental feature by using a preset signal interference degree algorithm;
The optimal signal area determining module 103 is configured to calculate a signal area factor in the target environment area according to the signal interference level and the signal coverage rate, and determine an optimal signal area in the target field environment according to a preset signal transmission radius and the signal area factor;
the positioning location updating module 104 is configured to obtain a positioning location of a target mobile phone, and perform location updating on the positioning location according to the optimal signal area to obtain an updated positioning location;
the received signal enhancing module 105 is configured to enhance a received signal in the updated positioning position by using a preset stochastic resonance algorithm, so as to obtain an enhanced received signal of the target mobile phone.
In detail, each module in the mobile phone signal receiving and enhancing device 100 in the field low signal environment in the embodiment of the present invention adopts the same technical means as the mobile phone signal receiving and enhancing method in the field low signal environment described in fig. 1 to 3, and can generate the same technical effects, which is not repeated here.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present application without departing from the spirit and scope of the technical solution of the present application.
Claims (10)
1. The method for enhancing the mobile phone signal reception in the field low signal environment is characterized by comprising the following steps:
S1, acquiring environment data of a target field environment, extracting environment characteristics of the environment data, and dividing the target field environment into areas according to the environment characteristics to obtain a target environment area;
s2, calculating the signal coverage rate of the target environment area according to the environment characteristics and the preset base station position by using a preset coverage rate algorithm, and calculating the signal interference degree of the target environment area according to the environment characteristics by using a preset signal interference degree algorithm;
s3, calculating a signal area factor in the target environment area according to the signal interference degree and the signal coverage rate, and determining an optimal signal area in the target field environment according to a preset signal transmission radius and the signal area factor, wherein the calculating the signal area factor in the target environment area according to the signal interference degree and the signal coverage rate comprises the following steps:
s31, acquiring a target area in the target environment area;
s32, calculating a signal area factor in the target environment area according to the signal interference degree, the signal coverage rate and the target area by using the following signal area factor calculation formula:
Wherein H is k Signal area factor, G, for the kth target environmental area k Signal interference degree of kth target environment area, B k Signal coverage for the kth target environment area, S k A target area for the kth target environment area;
s4, acquiring the positioning position of the target mobile phone, and carrying out position updating on the positioning position according to the optimal signal area to obtain an updated positioning position;
s5, carrying out signal enhancement on the received signals in the updated positioning positions by using a preset stochastic resonance algorithm to obtain enhanced received signals of the target mobile phone.
2. The method for enhancing signal reception of a mobile phone in a field low signal environment according to claim 1, wherein the extracting the environmental features of the environmental data comprises:
graying the environment image in the environment data to obtain a graying environment image;
filtering fine substances in the gray environment image by using a preset median filtering algorithm to obtain a filtered environment image;
determining salient environment feature points in the filtered environment image by using a preset salient algorithm;
generating an environment topological graph of the target field environment according to the remarkable environment characteristic points, and taking the environment topological graph as the environment characteristic of the target field environment.
3. The method for enhancing mobile phone signal reception in a field low signal environment according to claim 2, wherein the determining salient environmental feature points in the filtered environmental image by using a preset salient algorithm comprises:
marking the environmental points in the filtering environmental image, and carrying out area marking on the environmental points according to a preset rectangular area to obtain an environmental point area;
calculating the salient feature values of the environmental points one by one according to the environmental point areas by using the salient algorithm, wherein the salient algorithm is as follows:
wherein A is α C is a column termination value in the environment point area, O is a column start value in the environment point area, E is a row termination value in the environment point area, R is a row start value in the environment point area, X (i, j) is a gray value of each pixel in the environment point area, alpha is an environment point serial number mark, i is a row serial number mark, and j is a column serial number mark;
and when the salient feature value is larger than a preset salient feature threshold, taking the environment point corresponding to the salient value as the salient environment feature point.
4. The method for enhancing mobile phone signal reception in a field low signal environment according to claim 1, wherein the performing region division on the target field environment according to the environmental characteristics to obtain a target environment region comprises:
Extracting an environment topology region of the environment topology map in the environment characteristic;
calculating the area of the environment topology area one by one;
calculating the total area of the environmental area in the environmental topological area according to a preset topological connection sequence and the area of the area;
and when the total area of the environment areas is larger than a preset area total area threshold, carrying out area division on the environment topology area corresponding to the total area of the environment areas to obtain a target environment area.
5. The method for enhancing signal reception of a mobile phone in a field low signal environment according to claim 1, wherein the calculating the signal coverage of the target environment area according to the environmental feature and the preset base station position by using a preset coverage algorithm comprises:
gridding the target environment area according to the environment characteristics to obtain a grid environment area;
determining the number of signal transmission grids in the grid environment area according to the base station position;
calculating the signal coverage rate of the target environment area according to the number of the signal transmission grids by using the coverage rate algorithm, wherein the coverage rate algorithm is as follows:
wherein B is k Signal coverage for the kth target environment region, F k The number of grids is signaled for the kth target environment area, and n is the total number of areas of the target environment area.
6. The method for enhancing signal reception of a mobile phone in a field low signal environment according to claim 1, wherein the calculating the signal interference level of the target environment area according to the environment characteristic by using a preset signal interference level algorithm comprises:
acquiring a target area signal of the target environment area, and quantifying an environment interference factor in the environment characteristic to obtain an environment interference factor value;
performing signal transformation on the target area signal by using a preset fast Fourier transformation algorithm to obtain a target transformation signal;
calculating an envelope value of the target transformation signal by using a preset signal envelope algorithm, wherein the signal envelope algorithm is as follows:
wherein D is δ R (delta) is the envelope value of the target transformation signal of the delta filter, N is the total signal moment, ln is a logarithmic function, exp is an exponential function;
when the envelope value is greater than a preset interference threshold, calculating the signal interference degree of the target environment area according to the environment interference factor value and the envelope value by using the signal interference degree algorithm, wherein the signal interference degree algorithm is as follows:
Wherein G is k The signal interference level for the kth target environment region,an environmental interference factor value, D, for the kth target environmental region δ The envelope value of the target transformation signal at the delta time is N, pi is the circumference rate, ln is a logarithmic function and P k False alarm probability of interference detection of kth target environment area.
7. The method for enhancing signal reception of a mobile phone in a field low signal environment according to claim 1, wherein determining an optimal signal area in the target field environment according to a preset signal transmission radius and the signal area factor comprises:
when the signal area factor is smaller than a preset signal area factor threshold, selecting a target environment area corresponding to the signal area factor as a first signal area;
and selecting a target environment area with the largest signal transmission radius in the first signal area as an optimal signal area in the target field environment.
8. The method for enhancing mobile phone signal reception in a field low signal environment according to claim 1, wherein the performing a location update on the positioning location according to the optimal signal area to obtain an updated positioning location comprises:
Acquiring the region center position and the region radius of the optimal signal region;
calculating a distance value between the central position of the region and the positioning position;
calculating the updated positioning position according to the area center position, the area radius and the distance value, wherein the updated positioning position calculation formula is as follows:
wherein (u, v) is the updated position location, (x) 1 ,y 1 ) Is the center position of the region, (x) 2 ,y 2 ) And r is the radius of the area, and d is the distance value for the positioning position.
9. The method for enhancing signal reception of a mobile phone in a field low signal environment according to claim 1, wherein the step of enhancing the signal received in the updated positioning position by using a preset stochastic resonance algorithm to obtain an enhanced received signal of the target mobile phone comprises:
acquiring a sinusoidal signal of the received signal in the updated positioning position;
determining a strong sinusoidal component in the sinusoidal signal using the stochastic resonance algorithm;
determining a power peak of the received signal from the strong sinusoidal component;
and carrying out signal enhancement on the received signal according to the power peak value to obtain an enhanced received signal of the target mobile phone.
10. A mobile phone signal receiving enhancement device in a field low signal environment, the device comprising:
the environment area dividing module is used for acquiring environment data of a target field environment, extracting environment characteristics of the environment data, and dividing the target field environment into areas according to the environment characteristics to obtain a target environment area;
the signal interference degree calculation module is used for calculating the signal coverage rate of the target environment area according to the environment characteristics and the preset base station position by using a preset coverage rate algorithm, and calculating the signal interference degree of the target environment area according to the environment characteristics by using a preset signal interference degree algorithm;
the optimal signal area determining module is used for calculating a signal area factor in the target environment area according to the signal interference degree and the signal coverage rate and determining an optimal signal area in the target field environment according to a preset signal transmission radius and the signal area factor;
the positioning position updating module is used for acquiring the positioning position of the target mobile phone, and carrying out position updating on the positioning position according to the optimal signal area to obtain an updated positioning position;
And the received signal enhancement module is used for carrying out signal enhancement on the received signal in the updated positioning position by utilizing a preset stochastic resonance algorithm to obtain an enhanced received signal of the target mobile phone.
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